Data Mining is the process of obtaining effective data from massive amounts of data and forming understandable patterns. Based on important technologies and methods such as logistic regression, and cloud theory, the analysis and research of massive data are realized. And then digging out important and valuable information and knowledge to provide more scientific and reasonable theoretical basis and hormone support for the decision-making analysis process. According to the training status of competitive sports talents in Chinese universities and colleges, China's competitive sports will be improved based on data mining. A competitive sport in China is dominated by the government. The government has absolute control over the resources of these events. It is difficult for social sports competition organizations to participate. Through data mining technology, a large number of competitive sports participants can be accommodated, and the training can be monitored and cultivated to better serve the competitive sports players. Through the four algorithms in the cloud theory, the error rate can be reduced to less than 0.5, and the data can be integrated fully and efficiently.

Jian Li, Zhou Zhou. Research on Constructing Target System of Competitive Sports Physical Training Based on Data Mining. Frontiers in Sport Research (2024) Vol. 6, Issue 4: 181-189. https://doi.org/10.25236/FSR.2024.060429.

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